Gabriele Russo Russo

Gabriele Russo Russo

Assistant Professor
Dept. of Civil Engineering and Computer Science Engineering
Tor Vergata University of Rome
Via del Politecnico 1, 00133 Roma, Italy
Office: D1-15, Building "Ingegneria dell'Informazione"
Email: russo.russo (at) ing.uniroma2.it

I am an Assistant Professor (RTT) at the Department of Civil Engineering and Computer Science Engineering of Tor Vergata University of Rome working as a member of the DAMON research group. My research focuses on distributed computing systems with emphasis on resource management, performance modeling and optimization, and runtime self-adaptation.

More information is available in my CV.

NEWS

RESEARCH

My research activities currently revolve around the following main topics:

  • Serverless computing in the Edge-Cloud Continuum: architectures, scheduling and offloading strategies, and dynamic resource management for Function-as-a-Service across the Edge-cloud Continuum.

  • Runtime Performance Management: performance modeling and optimization of distributed applications, focusing in particular on AI/ML inference workloads.

SELECTED PUBLICATIONS

  • 2026
    Carbon-aware offloading with function variants for serverless computing in the cloud-to-edge continuum
    C. Calavaro, V. Cardellini, F. Lo Presti, G. Russo Russo · Future Gener. Comput. Syst., 185, 108670
    [paper]
  • 2026
    Spec2FaaS: using AI Agents for Autonomous Serverless Function Development and Deployment
    M. Lupini, G. Russo Russo, V. Cardellini · Proceedings of the 20th ACM International Conference on Distributed and Event-based Systems, DEBS 2026, Lisbon, Portugal, June 23-26, 2026
    [paper]
  • 2025
    WasteLess: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications
    E. Incerto, R. Pizziol, G. Russo Russo, M. Tribastone · Proceedings of the 20th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Ottawa, ON, Canada, April 28-29, 2025
    [paper]
  • 2024
    QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum
    G. Russo Russo, D. Ferrarelli, D. Pasquali, V. Cardellini, F. Lo Presti · Future Generation Computer Systems, 156, 1-15
    [paper]
  • 2023
    Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources
    G. Russo Russo, V. Cardellini, F. Lo Presti · ACM Trans. Auton. Adapt. Syst., 18, 4, 14:1--14:44
    [paper]
→ All publications

TEACHING

In the A.Y. 2025/26 I teach the following courses for the MSc in Computer Science (in Italian):

In March/April 2025, I held a 10-hour doctoral course on Reinforcement Learning for Run-time Performance Management. [Slides]

Check my CV for more information about past teaching activities.

STUDENTS

Current PhD Students

I currently co-supervise the following computer science PhD students:

SERVICE

Reviewer for Journals

I review manuscripts submitted to high-quality scientific journals, including IEEE TPDS, IEEE TMC, IEEE TNSM, IEEE TCC, ACM CSUR, ACM TAAS, FGCS, JPDC.

Since 2021, I am a member of the Technical Review Board of IEEE Transactions on Parallel and Distributed Systems.

Conference & Workshop Organization

Recent contributions to conference/workshop organization include:

SOFTWARE

Serverledge

A Function-as-a-Service framework designed for Edge-Cloud environments, presented at IEEE PerCom ‘23. Serverledge relies on a decentralized architecture with no centralized gateways for function invocations, supporting horizontal and vertical function execution offloading. Written in Go.

[Paper] [GitHub]